Blog Comments

Kinetica Online is pleased to provide direct links to commentaries from our senior editor Dr. Steven Pelech has posted on other blogs sites. Most of these comments appear on the GenomeWeb Daily Scan website, which in turn highlight interesting blogs that have been posted at numerous sites in the blogosphere since the beginning of 2010. A wide variety of topical subjects are covered ranging from the latest scientific breakthroughs, research trends, politics and career advice. The original blogs and Dr. Pelech’s comments are summarized here under the title of the original blog. Should viewers wish to add to these discussions, they should add their comments at the original blog sites.

The views expressed by Dr. Pelech do not necessarily reflect those of the other management and staff at Kinexus Bioinformatics Corporation. However, we wish to encourage healthy debate that might spur improvements in how biomedical research is supported and conducted.

Sperm Seq

Submitted by S. Pelech - Kinexus on Fri, 07/20/2012 - 15:44.
The ability to sequence genomes in single haploid cells provides the unique opportunity to examine the actual clustering of specific mutations on the very same protein. Each diploid cell contains two copies of each chromosome (the exception being the X and Y chromosomes in males), and so normally for each gene sequenced, the predicted primary structures of the encoded proteins are really a composite of the mutations distributed on both alleles.

With some 60 million SNP's predicted in the human genome, the severity of deleterious mutations could in principle be strongly influenced by whether multiple mutations reside on the same polypeptide chain of a protein or are differentially distributed among the two copies of the protein that are produced in a cell. It is possible that co-mutations on the same copy of the gene may provide for compensatory changes to minimize their consequences or alternatively may synergize to have even stronger effects. As more DNA sequence data becomes available from single, haploid cell analyses, it will be interesting to observe if functional mutations are indeed clustered.

Link to the original blog post